Allele frequencies for 17 short tandem repeats (STRs) autosomal loci (D2S1338, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D19S433, D21S11, CSF1PO, FGA, PentaD, PentaE, TH01, TPOX, vWA) were studied in an extensive sample (max. N=1411) of unrelated individuals originating from the Czech Republic. Population and forensic parameters were estimated. Except for FGA and Penta E loci, no deviations from the Hardy-Weinberg equilibrium were detected. A comparative analysis with published data revealed significant differences in allele frequencies for some loci from the Polish population and three Hungarian populations (Ashkenazim population and Romany populations from Debrecen and Baranya County, respectively). A combination of these 17 STR loci provides a powerful tool for forensic identification in the native Czech population.

• MeSH
• DNA fingerprinting MeSH
• frekvence genu * MeSH
• lidé MeSH
• polymerázová řetězová reakce MeSH
• populační genetika * MeSH
• tandemové repetitivní sekvence * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH

One hundred and sixty-four accessions representing Czech and Slovak pea (Pisum sativum L.) varieties bred over the last 50 years were evaluated for genetic diversity using morphological, simple sequence repeat (SSR) and retrotransposon-based insertion polymorphism (RBIP) markers. Polymorphic information content (PIC) values of 10 SSR loci and 31 RBIP markers were on average high at 0.89 and 0.73, respectively. The silhouette method after the Ward clustering produced the most probable cluster estimate, identifying nine clusters from molecular data and five to seven clusters from morphological characters. Principal component analysis of nine qualitative and eight quantitative morphological parameters explain over 90 and 93% of total variability, respectively, in the first three axes. Multidimensional scaling of molecular data revealed a continuous structure for the set. To enable integration and evaluation of all data types, a Bayesian method for clustering was applied. Three clusters identified using morphology data, with clear separation of fodder, dry seed and afila types, were resolved by DNA data into 17, 12 and five sub-clusters, respectively. A core collection of 34 samples was derived from the complete collection by BAPS Bayesian analysis. Values for average gene diversity and allelic richness for molecular marker loci and diversity indexes of phenotypic data were found to be similar between the two collections, showing that this is a useful approach for representative core selection.

• MeSH
• alely MeSH
• analýza hlavních komponent MeSH
• Bayesova věta MeSH
• frekvence genu MeSH
• genetická variace * MeSH
• genetické markery genetika   MeSH
• hrách setý genetika   MeSH
• mikrosatelitní repetice genetika   MeSH
• minisatelitní repetice genetika   MeSH
• populační dynamika MeSH
• retroelementy genetika   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• genetické markery MeSH
• retroelementy MeSH